Data files

Summary statistics from GWAS of CPS_max for

• all samples (adjusted for age and sex)
• men only (adjusted for age)
• women only (adjusted for age)

These data are intended for research purposes only.

Citation: Pott et al. (2020) Genome-wide analysis of carotid plaque burden suggests a role of IL5 in men. PLOS ONE. PubMed ID: 32469969

When using this data acknowledge the source as follows: 'Data on maximal degree of stenosis has been contributed by LIFE-Adult investigators and has been downloaded ...

Summary statistics from GWAS of CPA_mean for

• all samples (adjusted for age and sex)
• men only (adjusted for age)
• women only (adjusted for age)

These data are intended for research purposes only.

Citation: Pott et al. (2020) Genome-wide analysis of carotid plaque burden suggests a role of IL5 in men. PLOS ONE. PubMed ID: 32469969

When using this data acknowledge the source as follows: 'Data on mean area of detected plaques has been contributed by LIFE-Adult investigators and has been downloaded ...

Summary statistics from GWAS of CPA_sum for

• all samples (adjusted for age and sex)
• men only (adjusted for age)
• women only (adjusted for age)

These data are intended for research purposes only.

Citation: Pott et al. (2020) Genome-wide analysis of carotid plaque burden suggests a role of IL5 in men. PLOS ONE. PubMed ID: 32469969

When using this data acknowledge the source as follows: 'Data on sum of plaque areas has been contributed by LIFE-Adult investigators and has been downloaded from ...

Summary statistics from GWAS of CPA_max for

• all samples (adjusted for age and sex)
• men only (adjusted for age)
• women only (adjusted for age)

These data are intended for research purposes only.

Citation: Pott et al. (2020) Genome-wide analysis of carotid plaque burden suggests a role of IL5 in men. PLOS ONE. PubMed ID: 32469969

When using this data acknowledge the source as follows: 'Data on area of the largest plaque detected has been contributed by LIFE-Adult investigators and has been ...

A series of 80 samples from benign melanocytic nevi and primary melanoma samples were analyzed by RNA sequencing (RNA-seq) to identify transcriptomic changes underlying early melanoma development.

Progression free survival and overall survival of patients with brain tumors dependent on IDH1 mutation, methyltransferase (MGMT) methylation, age, WHO diagnosis and combinations of these factors.